Mara Doimo
Impact in
- Biochemistry top 2%
- Biochemical Acid Research Studies
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Coenzyme Q10 studies and effects 11
- Mitochondrial Function and Pathology 9
- Advanced biosensing and bioanalysis techniques 5
- DNA and Nucleic Acid Chemistry 5
- RNA Interference and Gene Delivery 4
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- Advanced battery technologies research 9
- Co-authors
- Leonardo Salviati (17 shared papers)Eva Trevisson (16 shared papers)María Andrea Desbats (10 shared papers)Plácido Navas (9 shared papers)Matteo Cassina (5 shared papers)Cristina Cerqua (4 shared papers)Alberto Casarin (7 shared papers)Carlos Santos‐Ocaña (4 shared papers)
In The Last Decade
Mara Doimo
25 papers receiving 935 citations
Peers
Comparison fields: 5 of 72
- Biochemistry 269
- Clinical Biochemistry 120
- Molecular Biology 846
- Developmental Neuroscience 24
- Electrical and Electronic Engineering 274
Countries citing papers authored by Mara Doimo
This map shows the geographic impact of Mara Doimo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mara Doimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara Doimo more than expected).
Fields of papers citing papers by Mara Doimo
This network shows the impact of papers produced by Mara Doimo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mara Doimo. The network helps show where Mara Doimo may publish in the future.
Co-authors
The 25 scholars most cited alongside Mara Doimo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 162 | |
| 2 | 2014 | 94 | |
| 3 | 2012 | 85 | |
| 4 | 2013 | 67 | |
| 5 | 2020 | 64 | |
| 6 | 2014 | 47 | |
| 7 | 2016 | 45 | |
| 8 | 2008 | 43 | |
| 9 | 2015 | 39 | |
| 10 | 2017 | 36 | |
| 11 | 2023 | 29 | |
| 12 | 2009 | 27 | |
| 13 | 2012 | 26 | |
| 14 | 2018 | 25 | |
| 15 | 2018 | 24 | |
| 16 | 2012 | 23 | |
| 17 | 2022 | 22 | |
| 18 | Primary Coenzyme Q 10 Deficiency | 1993 | 22 |
| 19 | 2024 | 18 | |
| 20 | 2018 | 13 |
About Mara Doimo
Mara Doimo is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biochemistry, Clinical Biochemistry and Infectious Diseases, having authored 25 papers that have together received 944 indexed citations. Recurring topics across this work include Coenzyme Q10 studies and effects (11 papers), Advanced battery technologies research (9 papers), Mitochondrial Function and Pathology (9 papers), Metabolism and Genetic Disorders (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Biochemical Acid Research Studies (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Biochemistry (269 citations), Clinical Biochemistry (120 citations), Molecular Biology (846 citations), Developmental Neuroscience (24 citations) and Electrical and Electronic Engineering (274 citations). Mara Doimo has collaborated with scholars based in Italy, Sweden and Spain. Frequent co-authors include Leonardo Salviati, Eva Trevisson, María Andrea Desbats, Plácido Navas, Matteo Cassina, Cristina Cerqua, Alberto Casarin, Carlos Santos‐Ocaña, Sjoerd Wanrooij and Giuseppe Basso. Their work appears in journals such as Nucleic Acids Research, Journal of the American Chemical Society, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Human Mutation and Journal of Inherited Metabolic Disease.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.